Gupta Aman, Khan Amir Maroof, Rajoura O P, Srivastava Shruti
Department of Community Medicine, University College of Medical Sciences and GTB Hospital, New Delhi, India.
Department of Psychiatry, University College of Medical Sciences and GTB Hospital, New Delhi, India.
J Family Med Prim Care. 2018 Jul-Aug;7(4):721-727. doi: 10.4103/jfmpc.jfmpc_266_17.
Internet addiction (IA) is an emerging phenomenon among the youth of India. It has been found to be associated with mental health problems. This study was therefore conducted to find out the burden of IA among college students in Delhi, its risk factors and association with depression, anxiety, and stress.
A cross-sectional study was conducted, with face-to-face interviews, among the nonprofessional college students of the University of Delhi. Simple random sampling was used to select the students from the list obtained from the three colleges. Young's IA test scale and depression, anxiety, and stress short scale were used to measure IA and the mental health correlates, respectively. Chi-square tests were applied for testing the association of IA with the sociodemographic variables, the variables related to internet usage patterns, and the mental health variables. Independent predictors were determined using logistic regression modeling.
The prevalence of IA was 25.3%. The mean (standard deviation) age of the participants was 19.1 (1.02) years and 62.1% were males. The median family income was INR 50,000. IA was significantly associated with higher family income, greater screen time, always online status, and greater duration of internet use per week. The independent predictors of IA were greater duration of internet use per week and always online status, depression, anxiety, and stress.
The burden of IA among the college students was high. depression, anxiety, and stress were found to be independent predictors of IA.
网络成瘾（IA）在印度青年中是一种新兴现象。已发现它与心理健康问题有关。因此，本研究旨在了解德里大学生中网络成瘾的负担、其风险因素以及与抑郁、焦虑和压力的关联。
对德里大学的非专业大学生进行了一项横断面研究，并进行面对面访谈。采用简单随机抽样从三所学院获得的名单中选取学生。分别使用杨氏网络成瘾测试量表和抑郁、焦虑和压力简表来测量网络成瘾及其心理健康相关因素。应用卡方检验来测试网络成瘾与社会人口统计学变量、与互联网使用模式相关的变量以及心理健康变量之间的关联。使用逻辑回归模型确定独立预测因素。
网络成瘾的患病率为25.3%。参与者的平均（标准差）年龄为19.1（1.02）岁，62.1%为男性。家庭收入中位数为50,000印度卢比。网络成瘾与较高的家庭收入、更长的屏幕使用时间、始终在线状态以及每周更长的上网时长显著相关。网络成瘾的独立预测因素是每周更长的上网时长、始终在线状态、抑郁、焦虑和压力。
大学生中网络成瘾的负担较高。抑郁、焦虑和压力被发现是网络成瘾的独立预测因素。
